Latest Updates
From Our Blog
Get a glimpse into our recent projects, team milestones and innovative breakthroughs.
New Project Kickoff: Smart Sensor Platform with Yantra.
We’ve partnered with Yantra to launch a new Smart Sensor Platform designed for agriculture and industrial automation. It includes real-time data capture, BLE/MQTT communication and seamless cloud integration.
This project brings together embedded firmware (STM32), cloud dashboards and OTA updates. We’ve implemented sensor-level calibration and modular firmware for rapid scaling. The platform supports real-time analytics via a React-based dashboard and includes smart threshold alerting.
Key Technologies: LoRa, STM32, MQTT, Firebase, React.js
Sampaarsh Expands Team with 3 New Developers.
We're growing! We welcomed three new full-stack engineers to help us scale embedded-cloud solutions faster. The new hires bring experience in React, AWS IoT and microcontroller protocols.
This expansion supports our upcoming projects in industrial automation, predictive analytics and system architecture design. We’re excited to strengthen our R&D and delivery teams for greater impact.
Focus Areas: Embedded Dev, Full-stack Web, Agile Delivery
New Dashboard Framework Launching Soon.
We’re rolling out a new modular dashboard framework built using React, TailwindCSS and Redux Toolkit. This platform enables live device telemetry, user access control and automated alerting — all within a sleek, fast interface.
The framework is optimized for IoT and hardware-software hybrid applications. Each widget is reusable, allowing rapid configuration for any customer-specific requirement. Real-time graphs, admin logs, device map overlays and multi-user role systems are part of the stack.
Stack: React 18, TailwindCSS, Redux Toolkit, WebSockets, Chart.js, Node.js
Using AI for Predictive Maintenance in Manufacturing.
Our latest deployment of a predictive maintenance system in a mid-size factory reduced unexpected machine failures by 37% in just two months. We achieved this by analyzing vibration, temperature and load sensor data using ML algorithms.
The system uses real-time streaming data from embedded sensors, feeding it to an on-prem ML model trained to detect early signs of wear. The model triggers alerts, automatically logs events and sends maintenance tickets to the operations dashboard.
Technologies Used: Python (scikit-learn), MQTT, Grafana, Node.js, STM32
Welcoming Our First Batch of Interns.
Sampaarsh launched its first formal internship program aimed at mentoring young technologists. Over 100 applications were reviewed and five interns from top engineering colleges were selected.
Interns will work hands-on with real client projects, spanning embedded systems, front-end web and cloud integration. Weekly mentorship and learning sessions ensure they get industry-ready skills while contributing to live deployments.
Focus Areas: Project-based Learning, Embedded R&D, Clean Code Practices, Agile Development
Cloud Integration Complete for Agri-Tech Deployment.
Our engineering team successfully completed a full-stack Azure integration for an Agri-Tech partner. The platform connects over 1,500 field devices streaming temperature, humidity and soil moisture data into Azure IoT Hub.
The deployment includes a secure device provisioning layer, Azure Functions for ETL tasks, and a Power BI dashboard for farm-wise analytics. This system helps farmers monitor crop conditions remotely while enabling better yield predictions.
Tech Stack: Azure IoT Hub, MQTT, Node.js, Power BI, Cosmos DB